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  # AIObioEnts model files
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- **NOTE:** these models are only compatible with the [**initial release of AIObioEnts**](https://github.com/sirisacademic/AIObioEnts/tree/v0.0.0)
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- This dataset contains the model files for [AIObioEnts](https://github.com/sirisacademic/AIObioEnts/tree/v0.0.0), trained using [AIONER](https://github.com/ncbi/AIONER) with 4 different pre-trained models:
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  - [BiomedBERT-base pre-trained on abstracts from PubMed; the best-performing model reported in the original AIONER paper](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract)
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  - [BiomedBERT-base pre-trained on both abstracts from PubMed and full-texts articles from PubMedCentral](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext)
 
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  # AIObioEnts model files
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+ **NOTE:** these models are only compatible with the [**AIObioEnts v0.0.1**](https://github.com/sirisacademic/AIObioEnts/tree/v0.0.1)
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+ This dataset contains the model files for [AIObioEnts](https://github.com/sirisacademic/AIObioEnts/tree/v0.0.1), trained using [AIONER](https://github.com/ncbi/AIONER) with 4 different pre-trained models:
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  - [BiomedBERT-base pre-trained on abstracts from PubMed; the best-performing model reported in the original AIONER paper](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract)
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  - [BiomedBERT-base pre-trained on both abstracts from PubMed and full-texts articles from PubMedCentral](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext)